Overview

Brought to you by YData

Dataset statistics

Number of variables21
Number of observations2938
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory470.7 KiB
Average record size in memory164.0 B

Variable types

Numeric20
Categorical1

Alerts

BMI is highly overall correlated with HIV/AIDS and 5 other fieldsHigh correlation
HIV/AIDS is highly overall correlated with BMI and 5 other fieldsHigh correlation
thinness 1-19 years is highly overall correlated with BMI and 4 other fieldsHigh correlation
thinness 5-9 years is highly overall correlated with BMI and 4 other fieldsHigh correlation
Adult Mortality is highly overall correlated with HIV/AIDS and 2 other fieldsHigh correlation
Alcohol is highly overall correlated with Schooling and 1 other fieldsHigh correlation
Diphtheria is highly overall correlated with Hepatitis B and 4 other fieldsHigh correlation
GDP is highly overall correlated with Income composition of resources and 3 other fieldsHigh correlation
Hepatitis B is highly overall correlated with Diphtheria and 1 other fieldsHigh correlation
Income composition of resources is highly overall correlated with BMI and 12 other fieldsHigh correlation
Life expectancy is highly overall correlated with BMI and 12 other fieldsHigh correlation
Measles is highly overall correlated with infant deaths and 1 other fieldsHigh correlation
Polio is highly overall correlated with Diphtheria and 4 other fieldsHigh correlation
Schooling is highly overall correlated with BMI and 12 other fieldsHigh correlation
Status is highly overall correlated with Alcohol and 3 other fieldsHigh correlation
infant deaths is highly overall correlated with Income composition of resources and 4 other fieldsHigh correlation
percentage expenditure is highly overall correlated with GDPHigh correlation
under-five deaths is highly overall correlated with HIV/AIDS and 5 other fieldsHigh correlation
infant deaths has 848 (28.9%) zerosZeros
percentage expenditure has 611 (20.8%) zerosZeros
Measles has 983 (33.5%) zerosZeros
under-five deaths has 785 (26.7%) zerosZeros
Income composition of resources has 130 (4.4%) zerosZeros

Reproduction

Analysis started2024-08-15 09:32:34.382004
Analysis finished2024-08-15 09:34:37.741736
Duration2 minutes and 3.36 seconds
Software versionydata-profiling vv4.9.0
Download configurationconfig.json

Variables

Year
Real number (ℝ)

Distinct16
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2007.5187
Minimum2000
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:37.899730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2000
Q12004
median2008
Q32012
95-th percentile2015
Maximum2015
Range15
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.6138409
Coefficient of variation (CV)0.0022982804
Kurtosis-1.2137217
Mean2007.5187
Median Absolute Deviation (MAD)4
Skewness-0.0064090274
Sum5898090
Variance21.287528
MonotonicityNot monotonic
2024-08-15T15:04:38.114365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2013 193
 
6.6%
2015 183
 
6.2%
2014 183
 
6.2%
2012 183
 
6.2%
2011 183
 
6.2%
2010 183
 
6.2%
2009 183
 
6.2%
2008 183
 
6.2%
2007 183
 
6.2%
2006 183
 
6.2%
Other values (6) 1098
37.4%
ValueCountFrequency (%)
2000 183
6.2%
2001 183
6.2%
2002 183
6.2%
2003 183
6.2%
2004 183
6.2%
2005 183
6.2%
2006 183
6.2%
2007 183
6.2%
2008 183
6.2%
2009 183
6.2%
ValueCountFrequency (%)
2015 183
6.2%
2014 183
6.2%
2013 193
6.6%
2012 183
6.2%
2011 183
6.2%
2010 183
6.2%
2009 183
6.2%
2008 183
6.2%
2007 183
6.2%
2006 183
6.2%

Status
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.1 KiB
1
2426 
0
512 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2938
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 2426
82.6%
0 512
 
17.4%

Length

2024-08-15T15:04:38.462732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-08-15T15:04:38.729944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2426
82.6%
0 512
 
17.4%

Most occurring characters

ValueCountFrequency (%)
1 2426
82.6%
0 512
 
17.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2938
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2426
82.6%
0 512
 
17.4%

Most occurring scripts

ValueCountFrequency (%)
Common 2938
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2426
82.6%
0 512
 
17.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2938
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2426
82.6%
0 512
 
17.4%

Life expectancy
Real number (ℝ)

HIGH CORRELATION 

Distinct362
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.234717
Minimum36.3
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:38.963638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.3
5-th percentile51.4
Q163.2
median72.1
Q375.6
95-th percentile82
Maximum89
Range52.7
Interquartile range (IQR)12.4

Descriptive statistics

Standard deviation9.509115
Coefficient of variation (CV)0.13734605
Kurtosis-0.22408058
Mean69.234717
Median Absolute Deviation (MAD)5.7
Skewness-0.64239081
Sum203411.6
Variance90.423268
MonotonicityNot monotonic
2024-08-15T15:04:39.193333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73 45
 
1.5%
75 33
 
1.1%
78 31
 
1.1%
73.6 28
 
1.0%
76 25
 
0.9%
73.9 25
 
0.9%
81 25
 
0.9%
74.7 24
 
0.8%
74.5 24
 
0.8%
74.2 23
 
0.8%
Other values (352) 2655
90.4%
ValueCountFrequency (%)
36.3 1
< 0.1%
39 1
< 0.1%
41 1
< 0.1%
41.5 1
< 0.1%
42.3 1
< 0.1%
43.1 1
< 0.1%
43.3 1
< 0.1%
43.5 1
< 0.1%
43.8 1
< 0.1%
44 1
< 0.1%
ValueCountFrequency (%)
89 11
0.4%
88 10
0.3%
87 9
0.3%
86 15
0.5%
85 12
0.4%
84 11
0.4%
83.7 1
 
< 0.1%
83.5 2
 
0.1%
83.4 1
 
< 0.1%
83.3 1
 
< 0.1%

Adult Mortality
Real number (ℝ)

HIGH CORRELATION 

Distinct425
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.72566
Minimum1
Maximum723
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:39.466081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q174
median144
Q3227
95-th percentile397.3
Maximum723
Range722
Interquartile range (IQR)153

Descriptive statistics

Standard deviation124.08622
Coefficient of variation (CV)0.75329012
Kurtosis1.7668555
Mean164.72566
Median Absolute Deviation (MAD)75
Skewness1.1778994
Sum483964
Variance15397.389
MonotonicityNot monotonic
2024-08-15T15:04:39.718389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 34
 
1.2%
144 32
 
1.1%
14 30
 
1.0%
16 29
 
1.0%
138 25
 
0.9%
11 25
 
0.9%
19 23
 
0.8%
13 21
 
0.7%
17 21
 
0.7%
15 21
 
0.7%
Other values (415) 2677
91.1%
ValueCountFrequency (%)
1 12
0.4%
2 8
 
0.3%
3 6
 
0.2%
4 4
 
0.1%
5 2
 
0.1%
6 13
0.4%
7 16
0.5%
8 13
0.4%
9 12
0.4%
11 25
0.9%
ValueCountFrequency (%)
723 1
< 0.1%
717 1
< 0.1%
715 1
< 0.1%
699 1
< 0.1%
693 1
< 0.1%
686 1
< 0.1%
682 1
< 0.1%
679 1
< 0.1%
675 1
< 0.1%
666 1
< 0.1%

infant deaths
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct209
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.303948
Minimum0
Maximum1800
Zeros848
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:39.998510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q322
95-th percentile94.15
Maximum1800
Range1800
Interquartile range (IQR)22

Descriptive statistics

Standard deviation117.9265
Coefficient of variation (CV)3.8914567
Kurtosis116.04276
Mean30.303948
Median Absolute Deviation (MAD)3
Skewness9.786963
Sum89033
Variance13906.66
MonotonicityNot monotonic
2024-08-15T15:04:40.203046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 848
28.9%
1 342
 
11.6%
2 203
 
6.9%
3 175
 
6.0%
4 96
 
3.3%
8 57
 
1.9%
7 53
 
1.8%
9 48
 
1.6%
10 48
 
1.6%
6 46
 
1.6%
Other values (199) 1022
34.8%
ValueCountFrequency (%)
0 848
28.9%
1 342
11.6%
2 203
 
6.9%
3 175
 
6.0%
4 96
 
3.3%
5 44
 
1.5%
6 46
 
1.6%
7 53
 
1.8%
8 57
 
1.9%
9 48
 
1.6%
ValueCountFrequency (%)
1800 2
0.1%
1700 2
0.1%
1600 1
< 0.1%
1500 2
0.1%
1400 1
< 0.1%
1300 2
0.1%
1200 1
< 0.1%
1100 2
0.1%
1000 1
< 0.1%
957 1
< 0.1%

Alcohol
Real number (ℝ)

HIGH CORRELATION 

Distinct1077
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5468754
Minimum0.01
Maximum17.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:40.550523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.01
Q11.0925
median3.755
Q37.39
95-th percentile11.89
Maximum17.87
Range17.86
Interquartile range (IQR)6.2975

Descriptive statistics

Standard deviation3.9219457
Coefficient of variation (CV)0.86255843
Kurtosis-0.6249135
Mean4.5468754
Median Absolute Deviation (MAD)3.115
Skewness0.64957815
Sum13358.72
Variance15.381658
MonotonicityNot monotonic
2024-08-15T15:04:40.893644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01 288
 
9.8%
3.755 194
 
6.6%
0.03 15
 
0.5%
0.04 13
 
0.4%
0.02 12
 
0.4%
0.09 12
 
0.4%
0.21 10
 
0.3%
0.06 10
 
0.3%
1.18 10
 
0.3%
0.05 9
 
0.3%
Other values (1067) 2365
80.5%
ValueCountFrequency (%)
0.01 288
9.8%
0.02 12
 
0.4%
0.03 15
 
0.5%
0.04 13
 
0.4%
0.05 9
 
0.3%
0.06 10
 
0.3%
0.07 4
 
0.1%
0.08 9
 
0.3%
0.09 12
 
0.4%
0.1 7
 
0.2%
ValueCountFrequency (%)
17.87 1
< 0.1%
17.31 1
< 0.1%
16.99 1
< 0.1%
16.58 1
< 0.1%
16.35 1
< 0.1%
15.52 1
< 0.1%
15.19 1
< 0.1%
15.14 1
< 0.1%
15.07 1
< 0.1%
15.04 2
0.1%

percentage expenditure
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2328
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean738.2513
Minimum0
Maximum19479.912
Zeros611
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:41.105565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.6853426
median64.912906
Q3441.53414
95-th percentile4506.6385
Maximum19479.912
Range19479.912
Interquartile range (IQR)436.8488

Descriptive statistics

Standard deviation1987.9149
Coefficient of variation (CV)2.6927347
Kurtosis26.573387
Mean738.2513
Median Absolute Deviation (MAD)64.912906
Skewness4.6520513
Sum2168982.3
Variance3951805.5
MonotonicityNot monotonic
2024-08-15T15:04:41.404327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 611
 
20.8%
71.27962362 1
 
< 0.1%
3.304039899 1
 
< 0.1%
218.5716179 1
 
< 0.1%
36.81621175 1
 
< 0.1%
2.542436908 1
 
< 0.1%
2.092343893 1
 
< 0.1%
22.35595448 1
 
< 0.1%
15.25518816 1
 
< 0.1%
31.50243237 1
 
< 0.1%
Other values (2318) 2318
78.9%
ValueCountFrequency (%)
0 611
20.8%
0.09987219 1
 
< 0.1%
0.108055973 1
 
< 0.1%
0.27564826 1
 
< 0.1%
0.328418056 1
 
< 0.1%
0.358651421 1
 
< 0.1%
0.388253772 1
 
< 0.1%
0.397228764 1
 
< 0.1%
0.442802404 1
 
< 0.1%
0.5305728 1
 
< 0.1%
ValueCountFrequency (%)
19479.91161 1
< 0.1%
19099.04506 1
< 0.1%
18961.3486 1
< 0.1%
18822.86732 1
< 0.1%
18379.32974 1
< 0.1%
17028.52798 1
< 0.1%
16255.16198 1
< 0.1%
15515.75234 1
< 0.1%
15345.4907 1
< 0.1%
15268.06445 1
< 0.1%

Hepatitis B
Real number (ℝ)

HIGH CORRELATION 

Distinct87
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.022124
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:41.678925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q182
median92
Q396
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)14

Descriptive statistics

Standard deviation22.996984
Coefficient of variation (CV)0.27699826
Kurtosis4.4012053
Mean83.022124
Median Absolute Deviation (MAD)5
Skewness-2.2816974
Sum243919
Variance528.86127
MonotonicityNot monotonic
2024-08-15T15:04:41.979126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92 645
22.0%
99 240
 
8.2%
98 210
 
7.1%
96 167
 
5.7%
97 155
 
5.3%
95 149
 
5.1%
94 127
 
4.3%
93 101
 
3.4%
91 75
 
2.6%
89 71
 
2.4%
Other values (77) 998
34.0%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 4
 
0.1%
4 4
 
0.1%
5 9
 
0.3%
6 17
 
0.6%
7 20
 
0.7%
8 39
1.3%
9 65
2.2%
11 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
99 240
 
8.2%
98 210
 
7.1%
97 155
 
5.3%
96 167
 
5.7%
95 149
 
5.1%
94 127
 
4.3%
93 101
 
3.4%
92 645
22.0%
91 75
 
2.6%
89 71
 
2.4%

Measles
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct958
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2419.5922
Minimum0
Maximum212183
Zeros983
Zeros (%)33.5%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:42.232357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17
Q3360.25
95-th percentile9985.55
Maximum212183
Range212183
Interquartile range (IQR)360.25

Descriptive statistics

Standard deviation11467.272
Coefficient of variation (CV)4.7393409
Kurtosis114.8599
Mean2419.5922
Median Absolute Deviation (MAD)17
Skewness9.4413319
Sum7108762
Variance1.3149834 × 108
MonotonicityNot monotonic
2024-08-15T15:04:43.640166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 983
33.5%
1 104
 
3.5%
2 68
 
2.3%
3 44
 
1.5%
4 33
 
1.1%
6 29
 
1.0%
7 28
 
1.0%
5 25
 
0.9%
8 24
 
0.8%
9 22
 
0.7%
Other values (948) 1578
53.7%
ValueCountFrequency (%)
0 983
33.5%
1 104
 
3.5%
2 68
 
2.3%
3 44
 
1.5%
4 33
 
1.1%
5 25
 
0.9%
6 29
 
1.0%
7 28
 
1.0%
8 24
 
0.8%
9 22
 
0.7%
ValueCountFrequency (%)
212183 1
< 0.1%
182485 1
< 0.1%
168107 1
< 0.1%
141258 1
< 0.1%
133802 1
< 0.1%
131441 1
< 0.1%
124219 1
< 0.1%
118712 1
< 0.1%
110927 1
< 0.1%
109023 1
< 0.1%

BMI
Real number (ℝ)

HIGH CORRELATION 

Distinct608
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.381178
Minimum1
Maximum87.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:44.063837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.2
Q119.4
median43.5
Q356.1
95-th percentile64.7
Maximum87.3
Range86.3
Interquartile range (IQR)36.7

Descriptive statistics

Standard deviation19.935375
Coefficient of variation (CV)0.51940498
Kurtosis-1.2709659
Mean38.381178
Median Absolute Deviation (MAD)16.1
Skewness-0.22915684
Sum112763.9
Variance397.41917
MonotonicityNot monotonic
2024-08-15T15:04:44.406614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43.5 38
 
1.3%
58.5 18
 
0.6%
55.8 16
 
0.5%
57 16
 
0.5%
59.9 15
 
0.5%
54.2 15
 
0.5%
59.3 14
 
0.5%
52.8 13
 
0.4%
55 13
 
0.4%
59.4 13
 
0.4%
Other values (598) 2767
94.2%
ValueCountFrequency (%)
1 1
 
< 0.1%
1.4 2
 
0.1%
1.8 1
 
< 0.1%
1.9 1
 
< 0.1%
2 1
 
< 0.1%
2.1 11
0.4%
2.2 9
0.3%
2.3 6
0.2%
2.4 5
0.2%
2.5 8
0.3%
ValueCountFrequency (%)
87.3 1
< 0.1%
83.3 1
< 0.1%
82.8 1
< 0.1%
81.6 1
< 0.1%
79.3 1
< 0.1%
77.6 1
< 0.1%
77.3 1
< 0.1%
77.1 1
< 0.1%
76.7 1
< 0.1%
76.2 1
< 0.1%

under-five deaths
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct252
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.035739
Minimum0
Maximum2500
Zeros785
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:44.745859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q328
95-th percentile138
Maximum2500
Range2500
Interquartile range (IQR)28

Descriptive statistics

Standard deviation160.44555
Coefficient of variation (CV)3.8168842
Kurtosis109.7528
Mean42.035739
Median Absolute Deviation (MAD)4
Skewness9.4950647
Sum123501
Variance25742.774
MonotonicityNot monotonic
2024-08-15T15:04:45.093451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 785
26.7%
1 361
 
12.3%
2 163
 
5.5%
4 161
 
5.5%
3 129
 
4.4%
12 53
 
1.8%
8 49
 
1.7%
6 48
 
1.6%
10 47
 
1.6%
5 44
 
1.5%
Other values (242) 1098
37.4%
ValueCountFrequency (%)
0 785
26.7%
1 361
12.3%
2 163
 
5.5%
3 129
 
4.4%
4 161
 
5.5%
5 44
 
1.5%
6 48
 
1.6%
7 30
 
1.0%
8 49
 
1.7%
9 40
 
1.4%
ValueCountFrequency (%)
2500 1
< 0.1%
2400 1
< 0.1%
2300 1
< 0.1%
2200 1
< 0.1%
2100 1
< 0.1%
2000 2
0.1%
1900 1
< 0.1%
1800 1
< 0.1%
1700 1
< 0.1%
1600 1
< 0.1%

Polio
Real number (ℝ)

HIGH CORRELATION 

Distinct73
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.617767
Minimum3
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:45.324811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile9
Q178
median93
Q397
95-th percentile99
Maximum99
Range96
Interquartile range (IQR)19

Descriptive statistics

Standard deviation23.367166
Coefficient of variation (CV)0.28283463
Kurtosis3.8276906
Mean82.617767
Median Absolute Deviation (MAD)6
Skewness-2.1089094
Sum242731
Variance546.02443
MonotonicityNot monotonic
2024-08-15T15:04:45.757830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99 376
 
12.8%
98 255
 
8.7%
96 207
 
7.0%
97 205
 
7.0%
95 180
 
6.1%
94 159
 
5.4%
93 139
 
4.7%
92 96
 
3.3%
91 88
 
3.0%
9 71
 
2.4%
Other values (63) 1162
39.6%
ValueCountFrequency (%)
3 7
 
0.2%
4 11
 
0.4%
5 8
 
0.3%
6 11
 
0.4%
7 24
 
0.8%
8 40
1.4%
9 71
2.4%
17 1
 
< 0.1%
23 1
 
< 0.1%
24 2
 
0.1%
ValueCountFrequency (%)
99 376
12.8%
98 255
8.7%
97 205
7.0%
96 207
7.0%
95 180
6.1%
94 159
5.4%
93 139
 
4.7%
92 96
 
3.3%
91 88
 
3.0%
89 56
 
1.9%

Total expenditure
Real number (ℝ)

Distinct819
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.924098
Minimum0.37
Maximum17.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:46.116140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.37
5-th percentile1.9885
Q14.37
median5.755
Q37.33
95-th percentile9.6915
Maximum17.6
Range17.23
Interquartile range (IQR)2.96

Descriptive statistics

Standard deviation2.4007703
Coefficient of variation (CV)0.405255
Kurtosis1.514132
Mean5.924098
Median Absolute Deviation (MAD)1.455
Skewness0.66110822
Sum17405
Variance5.7636982
MonotonicityNot monotonic
2024-08-15T15:04:46.447040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.755 226
 
7.7%
4.6 15
 
0.5%
6.7 12
 
0.4%
5.6 11
 
0.4%
9.1 10
 
0.3%
5.64 10
 
0.3%
5.9 10
 
0.3%
5.3 10
 
0.3%
5.25 10
 
0.3%
3.4 10
 
0.3%
Other values (809) 2614
89.0%
ValueCountFrequency (%)
0.37 1
 
< 0.1%
0.65 1
 
< 0.1%
0.74 1
 
< 0.1%
0.76 1
 
< 0.1%
0.92 1
 
< 0.1%
1.1 2
0.1%
1.12 3
0.1%
1.15 2
0.1%
1.17 2
0.1%
1.18 3
0.1%
ValueCountFrequency (%)
17.6 1
< 0.1%
17.24 1
< 0.1%
17.2 2
0.1%
17.14 1
< 0.1%
17 1
< 0.1%
16.9 1
< 0.1%
16.61 1
< 0.1%
16.2 1
< 0.1%
15.6 1
< 0.1%
15.57 1
< 0.1%

Diphtheria
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.393125
Minimum2
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:46.695730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q178
median93
Q397
95-th percentile99
Maximum99
Range97
Interquartile range (IQR)19

Descriptive statistics

Standard deviation23.655562
Coefficient of variation (CV)0.28710602
Kurtosis3.6080935
Mean82.393125
Median Absolute Deviation (MAD)5
Skewness-2.0835656
Sum242071
Variance559.58561
MonotonicityNot monotonic
2024-08-15T15:04:47.066775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99 350
 
11.9%
98 254
 
8.6%
97 205
 
7.0%
96 201
 
6.8%
95 200
 
6.8%
94 149
 
5.1%
93 139
 
4.7%
92 100
 
3.4%
91 91
 
3.1%
89 76
 
2.6%
Other values (71) 1173
39.9%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 4
 
0.1%
4 12
 
0.4%
5 10
 
0.3%
6 16
 
0.5%
7 21
 
0.7%
8 39
1.3%
9 67
2.3%
16 1
 
< 0.1%
19 1
 
< 0.1%
ValueCountFrequency (%)
99 350
11.9%
98 254
8.6%
97 205
7.0%
96 201
6.8%
95 200
6.8%
94 149
5.1%
93 139
 
4.7%
92 100
 
3.4%
91 91
 
3.1%
89 76
 
2.6%

HIV/AIDS
Real number (ℝ)

HIGH CORRELATION 

Distinct200
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7421035
Minimum0.1
Maximum50.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:47.438507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.1
Q30.8
95-th percentile8.515
Maximum50.6
Range50.5
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation5.0777845
Coefficient of variation (CV)2.9147434
Kurtosis34.892008
Mean1.7421035
Median Absolute Deviation (MAD)0
Skewness5.396112
Sum5118.3
Variance25.783896
MonotonicityNot monotonic
2024-08-15T15:04:47.872067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 1781
60.6%
0.2 124
 
4.2%
0.3 115
 
3.9%
0.4 69
 
2.3%
0.5 42
 
1.4%
0.6 35
 
1.2%
0.9 32
 
1.1%
0.8 32
 
1.1%
0.7 29
 
1.0%
1.5 21
 
0.7%
Other values (190) 658
 
22.4%
ValueCountFrequency (%)
0.1 1781
60.6%
0.2 124
 
4.2%
0.3 115
 
3.9%
0.4 69
 
2.3%
0.5 42
 
1.4%
0.6 35
 
1.2%
0.7 29
 
1.0%
0.8 32
 
1.1%
0.9 32
 
1.1%
1 12
 
0.4%
ValueCountFrequency (%)
50.6 1
< 0.1%
50.3 1
< 0.1%
49.9 1
< 0.1%
49.1 1
< 0.1%
48.8 1
< 0.1%
46.4 1
< 0.1%
43.7 1
< 0.1%
43.5 1
< 0.1%
42.1 1
< 0.1%
40.7 1
< 0.1%

GDP
Real number (ℝ)

HIGH CORRELATION 

Distinct2491
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6611.5239
Minimum1.68135
Maximum119172.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:48.174751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.68135
5-th percentile81.834917
Q1580.487
median1766.9476
Q34779.4052
95-th percentile37690.232
Maximum119172.74
Range119171.06
Interquartile range (IQR)4198.9182

Descriptive statistics

Standard deviation13296.603
Coefficient of variation (CV)2.0111254
Kurtosis15.143186
Mean6611.5239
Median Absolute Deviation (MAD)1427.1314
Skewness3.5437559
Sum19424657
Variance1.7679966 × 108
MonotonicityNot monotonic
2024-08-15T15:04:48.461056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1766.947595 448
 
15.2%
584.25921 1
 
< 0.1%
354.8185998 1
 
< 0.1%
358.99731 1
 
< 0.1%
43.646498 1
 
< 0.1%
416.14838 1
 
< 0.1%
391.515524 1
 
< 0.1%
375.5819866 1
 
< 0.1%
348.151511 1
 
< 0.1%
341.2894618 1
 
< 0.1%
Other values (2481) 2481
84.4%
ValueCountFrequency (%)
1.68135 1
< 0.1%
3.685949 1
< 0.1%
4.6135745 1
< 0.1%
5.6687264 1
< 0.1%
8.376432 1
< 0.1%
11.147277 1
< 0.1%
11.33678 1
< 0.1%
11.553196 1
< 0.1%
11.631377 1
< 0.1%
12.1789279 1
< 0.1%
ValueCountFrequency (%)
119172.7418 1
< 0.1%
115761.577 1
< 0.1%
114293.8433 1
< 0.1%
113751.85 1
< 0.1%
89739.7117 1
< 0.1%
88564.82298 1
< 0.1%
87998.44468 1
< 0.1%
87646.75346 1
< 0.1%
86852.7119 1
< 0.1%
85948.746 1
< 0.1%

Population
Real number (ℝ)

Distinct2279
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10230851
Minimum34
Maximum1.2938593 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:48.731606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile14644.15
Q1418917.25
median1386542
Q34584371.2
95-th percentile41255039
Maximum1.2938593 × 109
Range1.2938593 × 109
Interquartile range (IQR)4165454

Descriptive statistics

Standard deviation54022417
Coefficient of variation (CV)5.2803443
Kurtosis381.13423
Mean10230851
Median Absolute Deviation (MAD)1217051
Skewness17.972837
Sum3.0058241 × 1010
Variance2.9184216 × 1015
MonotonicityNot monotonic
2024-08-15T15:04:48.990489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1386542 652
 
22.2%
444 4
 
0.1%
718239 2
 
0.1%
1141 2
 
0.1%
26868 2
 
0.1%
127445 2
 
0.1%
292 2
 
0.1%
51448196 1
 
< 0.1%
12262 1
 
< 0.1%
15228525 1
 
< 0.1%
Other values (2269) 2269
77.2%
ValueCountFrequency (%)
34 1
< 0.1%
36 1
< 0.1%
41 1
< 0.1%
43 1
< 0.1%
123 1
< 0.1%
135 1
< 0.1%
146 1
< 0.1%
286 1
< 0.1%
292 2
0.1%
297 1
< 0.1%
ValueCountFrequency (%)
1293859294 1
< 0.1%
1179681239 1
< 0.1%
1161977719 1
< 0.1%
1144118674 1
< 0.1%
1126135777 1
< 0.1%
258162113 1
< 0.1%
255131116 1
< 0.1%
248883232 1
< 0.1%
242524123 1
< 0.1%
236159276 1
< 0.1%

thinness 1-19 years
Real number (ℝ)

HIGH CORRELATION 

Distinct200
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8218856
Minimum0.1
Maximum27.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:49.268396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.6
Q11.6
median3.3
Q37.1
95-th percentile13.8
Maximum27.7
Range27.6
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation4.3976207
Coefficient of variation (CV)0.91201266
Kurtosis4.060346
Mean4.8218856
Median Absolute Deviation (MAD)2.3
Skewness1.7294964
Sum14166.7
Variance19.339068
MonotonicityNot monotonic
2024-08-15T15:04:49.614573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 74
 
2.5%
3.3 72
 
2.5%
1.9 65
 
2.2%
0.8 64
 
2.2%
0.7 63
 
2.1%
1.2 62
 
2.1%
2.1 61
 
2.1%
1.5 60
 
2.0%
2.2 58
 
2.0%
2 57
 
1.9%
Other values (190) 2302
78.4%
ValueCountFrequency (%)
0.1 28
 
1.0%
0.2 40
1.4%
0.3 32
1.1%
0.4 5
 
0.2%
0.5 35
1.2%
0.6 41
1.4%
0.7 63
2.1%
0.8 64
2.2%
0.9 57
1.9%
1 74
2.5%
ValueCountFrequency (%)
27.7 1
 
< 0.1%
27.5 1
 
< 0.1%
27.4 1
 
< 0.1%
27.3 1
 
< 0.1%
27.2 2
0.1%
27.1 2
0.1%
27 3
0.1%
26.9 2
0.1%
26.8 2
0.1%
26.7 1
 
< 0.1%

thinness 5-9 years
Real number (ℝ)

HIGH CORRELATION 

Distinct207
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8521443
Minimum0.1
Maximum28.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:50.055845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.5
Q11.6
median3.3
Q37.2
95-th percentile13.8
Maximum28.6
Range28.5
Interquartile range (IQR)5.6

Descriptive statistics

Standard deviation4.4858538
Coefficient of variation (CV)0.92450956
Kurtosis4.4531512
Mean4.8521443
Median Absolute Deviation (MAD)2.3
Skewness1.7956938
Sum14255.6
Variance20.122884
MonotonicityNot monotonic
2024-08-15T15:04:50.442711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 81
 
2.8%
0.9 69
 
2.3%
1.1 67
 
2.3%
0.5 63
 
2.1%
1.9 63
 
2.1%
1 62
 
2.1%
2.1 61
 
2.1%
1.3 59
 
2.0%
1.5 57
 
1.9%
1.7 55
 
1.9%
Other values (197) 2301
78.3%
ValueCountFrequency (%)
0.1 37
1.3%
0.2 45
1.5%
0.3 25
 
0.9%
0.4 17
 
0.6%
0.5 63
2.1%
0.6 54
1.8%
0.7 46
1.6%
0.8 36
1.2%
0.9 69
2.3%
1 62
2.1%
ValueCountFrequency (%)
28.6 1
< 0.1%
28.5 1
< 0.1%
28.4 1
< 0.1%
28.3 1
< 0.1%
28.2 1
< 0.1%
28.1 1
< 0.1%
28 2
0.1%
27.9 1
< 0.1%
27.8 2
0.1%
27.7 1
< 0.1%

Income composition of resources
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct625
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.63036181
Minimum0
Maximum0.948
Zeros130
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:50.761593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.291
Q10.50425
median0.677
Q30.772
95-th percentile0.89
Maximum0.948
Range0.948
Interquartile range (IQR)0.26775

Descriptive statistics

Standard deviation0.20513961
Coefficient of variation (CV)0.32543153
Kurtosis1.6940672
Mean0.63036181
Median Absolute Deviation (MAD)0.117
Skewness-1.2125259
Sum1852.003
Variance0.042082259
MonotonicityNot monotonic
2024-08-15T15:04:51.107560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.677 176
 
6.0%
0 130
 
4.4%
0.7 17
 
0.6%
0.739 13
 
0.4%
0.636 12
 
0.4%
0.714 12
 
0.4%
0.723 11
 
0.4%
0.877 11
 
0.4%
0.737 11
 
0.4%
0.797 11
 
0.4%
Other values (615) 2534
86.2%
ValueCountFrequency (%)
0 130
4.4%
0.253 1
 
< 0.1%
0.255 1
 
< 0.1%
0.261 1
 
< 0.1%
0.266 1
 
< 0.1%
0.268 3
 
0.1%
0.27 1
 
< 0.1%
0.276 1
 
< 0.1%
0.278 1
 
< 0.1%
0.279 1
 
< 0.1%
ValueCountFrequency (%)
0.948 1
 
< 0.1%
0.945 1
 
< 0.1%
0.942 1
 
< 0.1%
0.941 1
 
< 0.1%
0.939 1
 
< 0.1%
0.938 1
 
< 0.1%
0.937 1
 
< 0.1%
0.936 5
0.2%
0.934 2
 
0.1%
0.933 1
 
< 0.1%

Schooling
Real number (ℝ)

HIGH CORRELATION 

Distinct173
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.009837
Minimum0
Maximum20.7
Zeros28
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2024-08-15T15:04:51.370418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.9
Q110.3
median12.3
Q314.1
95-th percentile16.8
Maximum20.7
Range20.7
Interquartile range (IQR)3.8

Descriptive statistics

Standard deviation3.2651389
Coefficient of variation (CV)0.27187205
Kurtosis1.123676
Mean12.009837
Median Absolute Deviation (MAD)1.9
Skewness-0.63505163
Sum35284.9
Variance10.661132
MonotonicityNot monotonic
2024-08-15T15:04:51.689419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.3 207
 
7.0%
12.9 58
 
2.0%
13.3 52
 
1.8%
12.5 49
 
1.7%
12.8 46
 
1.6%
12.6 43
 
1.5%
12.4 42
 
1.4%
11.9 41
 
1.4%
10.7 41
 
1.4%
11.7 40
 
1.4%
Other values (163) 2319
78.9%
ValueCountFrequency (%)
0 28
1.0%
2.8 1
 
< 0.1%
2.9 4
 
0.1%
3 1
 
< 0.1%
3.1 1
 
< 0.1%
3.3 1
 
< 0.1%
3.4 1
 
< 0.1%
3.5 3
 
0.1%
3.6 1
 
< 0.1%
3.7 2
 
0.1%
ValueCountFrequency (%)
20.7 1
 
< 0.1%
20.6 1
 
< 0.1%
20.5 1
 
< 0.1%
20.4 3
0.1%
20.3 4
0.1%
20.1 2
0.1%
19.8 1
 
< 0.1%
19.7 1
 
< 0.1%
19.5 3
0.1%
19.3 2
0.1%

Interactions

2024-08-15T15:04:32.823623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-08-15T15:02:36.154671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-08-15T15:03:49.138096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-08-15T15:03:55.110661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-08-15T15:04:02.007060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-08-15T15:04:08.133164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-08-15T15:04:14.478341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-08-15T15:04:20.425076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-08-15T15:04:26.520597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-08-15T15:04:32.645689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-08-15T15:04:51.950750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
BMIHIV/AIDSthinness 1-19 yearsthinness 5-9 yearsAdult MortalityAlcoholDiphtheriaGDPHepatitis BIncome composition of resourcesLife expectancyMeaslesPolioPopulationSchoolingStatusTotal expenditureYearinfant deathspercentage expenditureunder-five deaths
BMI1.000-0.516-0.565-0.575-0.3900.3090.3340.4440.1740.5910.580-0.2760.324-0.0500.5840.4610.2560.147-0.4770.278-0.488
HIV/AIDS-0.5161.0000.4730.4600.522-0.188-0.469-0.443-0.295-0.631-0.7530.204-0.4830.078-0.5970.126-0.141-0.0560.487-0.2550.512
thinness 1-19 years-0.5650.4731.0000.9470.384-0.450-0.232-0.386-0.038-0.550-0.6030.307-0.2190.066-0.5480.464-0.348-0.0400.448-0.3020.456
thinness 5-9 years-0.5750.4600.9471.0000.399-0.442-0.240-0.393-0.053-0.550-0.6130.321-0.2290.076-0.5490.468-0.363-0.0380.462-0.3030.469
Adult Mortality-0.3900.5220.3840.3991.000-0.208-0.326-0.360-0.199-0.528-0.6500.145-0.3170.085-0.4770.364-0.171-0.0530.391-0.2970.404
Alcohol0.309-0.188-0.450-0.442-0.2081.0000.2650.3770.1040.4790.424-0.1950.249-0.0040.5110.6440.339-0.086-0.3670.277-0.366
Diphtheria0.334-0.469-0.232-0.240-0.3260.2651.0000.3700.7170.5140.541-0.2650.922-0.0730.5070.3090.1540.131-0.4250.222-0.428
GDP0.444-0.443-0.386-0.393-0.3600.3770.3701.0000.2180.6690.598-0.2030.365-0.0430.6460.4460.1440.163-0.4670.627-0.474
Hepatitis B0.174-0.295-0.038-0.053-0.1990.1040.7170.2181.0000.3000.298-0.1950.701-0.0860.2990.1920.0430.086-0.3080.096-0.305
Income composition of resources0.591-0.631-0.550-0.550-0.5280.4790.5140.6690.3001.0000.829-0.2300.510-0.0470.9020.6640.2090.193-0.5610.465-0.572
Life expectancy0.580-0.753-0.603-0.613-0.6500.4240.5410.5980.2980.8291.000-0.2800.531-0.0720.7780.6270.2830.157-0.5990.427-0.617
Measles-0.2760.2040.3070.3210.145-0.195-0.265-0.203-0.195-0.230-0.2801.000-0.2670.264-0.2780.022-0.185-0.0950.573-0.1530.574
Polio0.324-0.483-0.219-0.229-0.3170.2490.9220.3650.7010.5100.531-0.2671.000-0.0830.5020.3010.1380.108-0.4280.209-0.432
Population-0.0500.0780.0660.0760.085-0.004-0.073-0.043-0.086-0.047-0.0720.264-0.0831.000-0.0530.045-0.0750.0370.386-0.0490.381
Schooling0.584-0.597-0.548-0.549-0.4770.5110.5070.6460.2990.9020.778-0.2780.502-0.0531.0000.5990.2710.191-0.5790.451-0.590
Status0.4610.1260.4640.4680.3640.6440.3090.4460.1920.6640.6270.0220.3010.0450.5991.0000.4180.0000.0650.4480.060
Total expenditure0.256-0.141-0.348-0.363-0.1710.3390.1540.1440.0430.2090.283-0.1850.138-0.0750.2710.4181.0000.072-0.2140.147-0.219
Year0.147-0.056-0.040-0.038-0.053-0.0860.1310.1630.0860.1930.157-0.0950.1080.0370.1910.0000.0721.000-0.052-0.050-0.052
infant deaths-0.4770.4870.4480.4620.391-0.367-0.425-0.467-0.308-0.561-0.5990.573-0.4280.386-0.5790.065-0.214-0.0521.000-0.3610.993
percentage expenditure0.278-0.255-0.302-0.303-0.2970.2770.2220.6270.0960.4650.427-0.1530.209-0.0490.4510.4480.147-0.050-0.3611.000-0.362
under-five deaths-0.4880.5120.4560.4690.404-0.366-0.428-0.474-0.305-0.572-0.6170.574-0.4320.381-0.5900.060-0.219-0.0520.993-0.3621.000

Missing values

2024-08-15T15:04:36.934996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-08-15T15:04:37.469109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

YearStatusLife expectancyAdult Mortalityinfant deathsAlcoholpercentage expenditureHepatitis BMeaslesBMIunder-five deathsPolioTotal expenditureDiphtheriaHIV/AIDSGDPPopulationthinness 1-19 yearsthinness 5-9 yearsIncome composition of resourcesSchooling
02015165.0263.0620.0171.27962465.0115419.1836.08.1665.00.1584.25921033736494.017.217.30.47910.1
12014159.9271.0640.0173.52358262.049218.68658.08.1862.00.1612.696514327582.017.517.50.47610.0
22013159.9268.0660.0173.21924364.043018.18962.08.1364.00.1631.74497631731688.017.717.70.4709.9
32012159.5272.0690.0178.18421567.0278717.69367.08.5267.00.1669.9590003696958.017.918.00.4639.8
42011159.2275.0710.017.09710968.0301317.29768.07.8768.00.163.5372312978599.018.218.20.4549.5
52010158.8279.0740.0179.67936766.0198916.710266.09.2066.00.1553.3289402883167.018.418.40.4489.2
62009158.6281.0770.0156.76221763.0286116.210663.09.4263.00.1445.893298284331.018.618.70.4348.9
72008158.1287.0800.0325.87392564.0159915.711064.08.3364.00.1373.3611162729431.018.818.90.4338.7
82007157.5295.0820.0210.91015663.0114115.211363.06.7363.00.1369.83579626616792.019.019.10.4158.4
92006157.3295.0840.0317.17151864.0199014.711658.07.4358.00.1272.5637702589345.019.219.30.4058.1
YearStatusLife expectancyAdult Mortalityinfant deathsAlcoholpercentage expenditureHepatitis BMeaslesBMIunder-five deathsPolioTotal expenditureDiphtheriaHIV/AIDSGDPPopulationthinness 1-19 yearsthinness 5-9 yearsIncome composition of resourcesSchooling
29282009150.0587.0304.641.04002173.085329.04569.06.2673.018.165.8241211381599.07.57.40.4199.9
29292008148.2632.0303.5620.84342975.0028.64675.04.9675.020.5325.67857313558469.07.87.80.4219.7
29302007146.667.0293.8829.81456672.024228.24673.04.4773.023.7396.9982171332999.08.28.20.4149.6
29312006145.47.0284.5734.26216968.021227.94571.05.127.026.8414.79623213124267.08.68.60.4089.5
29322005144.6717.0284.148.71740965.042027.54369.06.4468.030.3444.765750129432.09.09.00.4069.3
29332004144.3723.0274.360.00000068.03127.14267.07.1365.033.6454.36665412777511.09.49.40.4079.2
29342003144.5715.0264.060.0000007.099826.7417.06.5268.036.7453.35115512633897.09.89.90.4189.5
29352002144.873.0254.430.00000073.030426.34073.06.5371.039.857.348340125525.01.21.30.42710.0
29362001145.3686.0251.720.00000076.052925.93976.06.1675.042.1548.58731212366165.01.61.70.4279.8
29372000146.0665.0241.680.00000079.0148325.53978.07.1078.043.5547.35887812222251.011.011.20.4349.8